BrisBio Network Series #2

BrisBio Network Series: Session #2

Researcher Speaker: Dr Jake Bradford
Abstract
High performance bioinformatics software for CRISPR technologies
CRISPR has become a leading tool for gene editing, due to the ability to make targeted modifications in virtually any genome of interest. The technology relies on using a customisable β€œguide RNA” sequence that controls where the modifications will be made. Designing high quality guide RNAs is not trivial and is a computationally expensive task. In this presentation, I will discuss software solutions for solving the complex biological questions associated with CRISPR technologies.

HDR Speaker: Oliver Hughes
Abstract
Robust and reproducible results are essential for confident scientific analysis. We demonstrate that transcription factor (TF) Chromatin Immunoprecipitation coupled with sequencing (ChIP-seq) suffers from systematic bias that may threaten its reproducibility: 80% of 200+ condition-matched, dual-replicate experiments in ENCODE contain genomic regions of systematic bias. We observe this regional bias even between replicates produced within the same experiment, resulting in thousands of irreproducible peaks, which contain valuable biological data. We provide evidence that regional bias may lead to qualitative differences in TF biology inferred by different experiments; we discovered eight TFs with binding activity in compact chromatin that was identified by one experiment, yet systematically absent from others. To mitigate the effects of bias, we derive simple but effective metrics to quantify the quality of data within biased regions and demonstrate that they can be used for the robust integration of data from multiple replicates or experiments.


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Thank you for registering for this event. Event Details: Date: 19th March 2026 Duration: 1pm-2pm Location: S block, level 3, room 310, QUT Gardens Point Zoom link: https://uqz.zoom.us/j/89012261693?pwd=c3Wlv8pBscxmhLSazmtqE0DZo0KvLA.1 Meeting ID: 890 1226 1693 Password: 722570 (meeting requires password)
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Event Details
Oliver Hughes
PhD student
School of Chemistry and Molecular Biosciences, The University of Queensland
My research interests lie in developing the appropriate statistical methodology for integrating regulatory genomics data from multiple experiments or laboratories. In particular, I am interested in developing statistical tools to detect systematic bias between experiments studying the same biological phenomenon, studying how and why such biases arise, and developing methodology to mitigate the effects systematic bias has on the biological inferences researchers make from regulatory genomics data.
Dr Jake Bradford
Lecturer and Lab Head
School of Computer Science, QUT Faculty of Science
Dr Bradford is a lecturer in the School of Computer Science at Queensland University of Technology. He leads the bioinformatics stream of the Integrative Computational and Plant Genomics lab that spans into the School of Biology and Environment Science. His work is shaped by his background as an industrial software engineer and data scientist, alongside strong interests in high-performance computing (i.e., supercomputers and public cloud) and applied biotechnologies (e.g., CRISPR).
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